{"id":"W2190879643","doi":"10.18632/aging.100798","title":"What biomarkers (if any) for precise medicine?","year":2015,"lang":"en","type":"editorial","venue":"Aging","topic":"Cancer Genomics and Diagnostics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Medicine; Medical physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000418814,0.0002607937,0.0002848228,0.00006348168,0.00006231787,0.00009183183,0.0003088794,0.0005346421,0.000009348959],"category_scores_gemma":[0.001423184,0.0002523243,0.0001151756,0.00005302913,0.00008568462,0.000004953112,0.0001543545,0.0001392003,0.000005786302],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006709415,"about_ca_system_score_gemma":0.0004763454,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008697239,"about_ca_topic_score_gemma":0.0000980988,"domain_scores_codex":[0.9986496,0.00002064848,0.0002523903,0.0005155493,0.0002494652,0.0003123471],"domain_scores_gemma":[0.9986537,0.0002092955,0.0001627371,0.0004688145,0.0003583738,0.0001470454],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007875582,0.0000105985,0.000008434817,0.00007195446,0.0001133976,0.000002611395,0.00006580717,0.000009462313,0.002861322,0.000005163988,0.9919945,0.004778011],"study_design_scores_gemma":[0.0009807994,0.0002368018,0.00000212414,0.0002155269,0.0001049098,0.000001183234,0.0001466571,0.00002495882,0.001646681,0.0002516596,0.9960855,0.0003031903],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003720152,0.01858578,0.0009476623,0.0004540694,0.9780414,0.0003969659,0.0002632527,0.00001520615,0.0009236964],"genre_scores_gemma":[0.0007774914,0.01073786,0.0004312468,0.0002006439,0.9812967,0.0001007258,0.004065331,0.00009496684,0.002295029],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.007847918,"threshold_uncertainty_score":0.9999929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01232434187102805,"score_gpt":0.2953136663727772,"score_spread":0.2829893245017491,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}